Healthcare Staffing Agencies

Your former facilities
are struggling again —
without you.

Which of your former facilities are struggling again — without you? Every Monday, the system cross-references your past client list against CMS staffing data and flags the ones worth calling back. Plus new facilities in your market showing staffing pressure. Ranked by urgency. With the administrator's number and what to say.

Get a Sample List for Your Territory See an Example

The Monday List

This is what
shows up in your inbox.

Sample deliverable · Data as of Q2 2026

Every facility scored on federal CMS data: staffing ratings, nurse turnover, RN hours, health deficiencies, ownership changes. Monitored weekly; refreshed whenever CMS releases new data. Ranked by staffing pressure and fit for your agency. Each one comes with a talk track built from the data.

Charleston Rehab and Nursing

Score: 125

Charleston, IL · 139 beds

Staffing Rating: 1/5

Nurse Turnover: 72%

RN Turnover: 91%

RN Hours/Resident/Day: 0.41

Deficiencies: 38

CMS staffing rating: 1 out of 5. Nursing staff turnover: 72%. RN turnover: 91%. RN hours per resident per day: 0.41, well below the national average. 38 health deficiencies on the most recent survey. Ownership changed in the last 12 months.

"Your facility came up in some staffing data I review regularly. It looks like nursing coverage has been a challenge. We specialize in placing RNs and CNAs in the Charleston area. Is that something worth a quick conversation?"

Timbercreek Rehab and Health Care Center

Score: 115

Pekin, IL · 202 beds

Staffing Rating: 1/5

Nurse Turnover: 66%

RN Turnover: 93%

RN Hours/Resident/Day: 0.20

Deficiencies: 25

CMS staffing rating: 1 out of 5. Nursing staff turnover: 66%. RN turnover: 93%. RN hours per resident per day: 0.20, well below the national average. 25 health deficiencies on the most recent survey.

"Your facility came up in some staffing data I review regularly. It looks like nursing coverage has been a challenge. We specialize in placing RNs and CNAs in the Pekin area. Is that something worth a quick conversation?"

+ 8 more facilities on the full Monday list

What the system watches

Six signals that a facility
needs your call.

All from CMS federal data. Staffing and turnover are drawn from quarterly Payroll-Based Journal submissions; other measures follow their own CMS cadence. Not a bought list. Not a guess. Every facility scored on what's actually happening inside.

Low staffing rating

CMS rates every nursing home 1-5 on staffing. A 1 or 2 means they're running short. These facilities are the most likely to pick up the phone.

High nurse turnover

60%+ nursing staff turnover means they can't keep people. They're either burning through agency staff already or about to start. Either way, they need options.

RN hours below threshold

When RN hours per resident per day drop below 0.5, the facility may be stretched thin on its most critical role. Worth a conversation.

Health deficiencies

10+ deficiencies on the most recent CMS survey. Many are staffing-related. A facility under scrutiny from regulators is more motivated to fix coverage gaps fast.

Ownership change

New ownership in the last 12 months. New owners clean house, restructure staff, and bring in outside help. The transition period is when they need agencies most.

Low overall rating

A 1 or 2 star overall CMS rating. These facilities are under pressure from families, regulators, and corporate. Staffing is almost always part of the fix.

How it works

Former clients first.
New facilities second.

The highest-conversion calls on the list are facilities that already know you. The system finds them first, then adds new facilities in your market showing staffing pressure. No dashboard to learn. No tool to log into. A ranked list with the phone number and what to say.

Your old clients come back first Send your past client list. The system cross-references it against CMS data and flags former facilities that are struggling again — high turnover, low ratings, new deficiencies. Warm outreach to people who already know you.
New facilities fill the pipeline Federal staffing ratings, turnover, deficiency counts, RN hours, ownership changes. Every facility in your market scored and ranked by urgency. Every list shows a "data as of" date so you know exactly what you're working with.
You call with a reason Not "just checking in." You know their staffing rating, their turnover number, their deficiency count. The administrator hears something useful about their own facility — information that helps them whether they hire you or not. That's a different conversation.
The scoring gets smarter Feedback loop: which facilities answered, which converted, which were dead ends. Your outreach data improves the scoring. Over time, the list reflects what a good account looks like for your agency — not a generic database.
The list refreshes weekly Monitored weekly; refreshed whenever CMS releases new data. Situations change. New facilities enter crisis. Former clients slip back into trouble. The system catches all of it. Monday morning, new list.

The math

The build pays for itself
in placements.

The build is $9,500. A few incremental placements — facilities you wouldn't have called without the list — cover the cost. The exact math depends on your margins, fill capacity, and rate structure. We'll work through the numbers together before you commit.

$9,500

90-day build

Days to
prove the model

$3,500/mo

Ongoing after
build proves out

The 90-Day Build

Your accounts.
Your market.

$9,500

Built around your historical client list and your territory. The system learns which facilities matter to your agency — not a generic database.

Weeks 1-2: Deal Audit Send your past client list and walk me through your best 20-30 placements. Which facilities were your best accounts? What was happening there before they called you? We interview the people who sold and serviced the deals. The goal: find the conditions that existed before your wins — not after.
Weeks 3-4: Signal Map + Build We document what was observable before each deal, test it against losses, and separate real patterns from coincidence. Those patterns become the scoring model. The system is built around what actually predicts placements for your agency.
Weeks 5-8: Shadow Mode Weekly ranked account lists delivered for your team to review — but not act on yet. You tell us: would you call this facility? Is this the right person? The model adjusts before a single dial is made.
Weeks 9-12: Live + Learn Your team starts calling from the list. Former clients showing pressure come first. New facilities matching your win patterns follow. Every week, we capture what happened: called, conversation, qualified, placement, dead end. The model gets smarter. The list gets sharper.

Your former facilitiesare struggling again —without you.

This is whatshows up in your inbox.

Six signals that a facilityneeds your call.

Former clients first.New facilities second.

The build pays for itselfin placements.

Your accounts.Your market.